LLM-aided Pair Programming for Algorithm Tracing

The recent widespread popularity of generative AI models has inspired the development of large-language model (LLM) based tools for educational purposes. We explore the impact of LLM-based tools on pair programming for algorithm tracing with the aim of addressing challenges inherent to pair programming. We designed and developed a GPT-4 based tool, TraceCompanion, that acts as students’ pair programming partner for algorithm tracing. We describe insights gained from running a pilot study to investigate students’ interactions with the tool and their initial perceptions.

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Published
2024-09-05
DOI
https://doi.org/10.1145/3689535.3689546
Primary Topic
Software Testing and Debugging Techniques
Type
article
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article

LLM-aided Pair Programming for Algorithm Tracing

Oana Andrei, Zoltan Sojtory
Software Testing and Debugging Techniques
article

LLM-aided Pair Programming for Algorithm Tracing

Oana Andrei, Zoltan Sojtory
article en

Abstract

The recent widespread popularity of generative AI models has inspired the development of large-language model (LLM) based tools for educational purposes. We explore the impact of LLM-based tools on pair programming for algorithm tracing with the aim of addressing challenges inherent to pair programming. We designed and developed a GPT-4 based tool, TraceCompanion, that acts as students’ pair programming partner for algorithm tracing. We describe insights gained from running a pilot study to investigate students’ interactions with the tool and their initial perceptions.

University of Glasgow (GB)
Openalex Percentile: Top 79%
Software Testing and Debugging Techniques
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LLM-aided Pair Programming for Algorithm Tracing — Oana Andrei, Zoltan Sojtory · (2024) | TGRS Research Map | TGRS